DocumentCode :
1407852
Title :
Variational Adaptive Correlation Method for Flow Estimation
Author :
Becker, Florian ; Wieneke, Bernhard ; Petra, Stefania ; Schröder, Andreas ; Schnörr, Christoph
Author_Institution :
Heidelberg Collaboratory for Image Process. & the Image & Pattern Anal. Group, Univ. of Heidelberg, Heidelberg, Germany
Volume :
21
Issue :
6
fYear :
2012
fDate :
6/1/2012 12:00:00 AM
Firstpage :
3053
Lastpage :
3065
Abstract :
A variational approach is presented to the estimation of turbulent fluid flow from particle image sequences in experimental fluid mechanics. The approach comprises two coupled optimizations for adapting size and shape of a Gaussian correlation window at each location and for estimating the flow, respectively. The method copes with a wide range of particle densities and image noise levels without any data-specific parameter tuning. Based on a careful implementation of a multiscale nonlinear optimization technique, we demonstrate robustness of the solution over typical experimental scenarios and highest estimation accuracy for an international benchmark data set (PIV Challenge).
Keywords :
Gaussian processes; flow visualisation; image sequences; optimisation; turbulence; variational techniques; Gaussian correlation window; experimental fluid mechanics; flow estimation; image sequences; multiscale nonlinear optimization technique; turbulent fluid flow estimation; variational adaptive correlation method; Accuracy; Correlation; Estimation; Optical imaging; Optimization; Shape; Vectors; Adaptive method; correlation; particle image velocity; variational approach;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2011.2181524
Filename :
6112219
Link To Document :
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